Comments (8)
I was not able to reproduce the problem with the example provided.
import pandas as pd
import numpy as np
import io
import pandas_profiling
zz = """ts b c d e f g h i j k
1234576601963 63992632 320 97123492385 4 325 value234 520938 HASH \\N const
1234572654839 28444632 319 96761692385 4 325 value1 520938 HASH \\N const
1234573590399 58412632 320 96830092385 4 325 value1 520938 HASH \\N const
1234573550737 63312632 320 96822892385 4 325 value1 520938 HASH \\N const
1234575246094 74492632 320 96903892385 4 325 value234 520938 HASH \\N const
1234576285832 64342632 320 97067692385 4 325 value234 520938 HASH \\N const
1234567951818 35632 319 96759642785 4 310 value917 520938 HASH \\N const
1234574017225 90822632 320 96872692385 4 325 value1 520938 HASH \\N const
1234575810946 70392632 320 96992692385 4 325 value234 520938 HASH \\N const
"""
df = pd.read_table(io.StringIO(zz), delim_whitespace=True)
df.replace(to_replace=["\\N"," "],value=np.nan,inplace=True)
pandas_profiling.describe(df)
# {'freq': {'b': 70392632 1
# 58412632 1
# 74492632 1
# [...]
Please could you provide an example permitting to reproduce the error?
Many thanks.
Note: The RuntimeWarning: divide by zero encountered in long_scalars 'p_unique': distinct_count / count}
has been fixed in #56.
from ydata-profiling.
Well, it might be version related.
How can I check pandas_profiling version?
from ydata-profiling.
You can check it with pip list | grep pandas-profiling
from ydata-profiling.
pandas-profiling (1.4.0)
but I installed from the master branch on top. Is there a variable to check in runtime?
from ydata-profiling.
No I don't think so (I will check more closely). However, if your version does not work with the flag check_correlation
you are running the 1.4 version and not the latest from the master branch.
from ydata-profiling.
Hello,
Can I close this issue? I don't know how to go further.
Thanks
from ydata-profiling.
Seems so, thank you.
from ydata-profiling.
Ok thanks for your reply.
from ydata-profiling.
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from ydata-profiling.